Path Sampling

Path Sampling is a computational method in the field of conformational sampling that specifically generates and analyzes ensembles of dynamical trajectories to study rare events and transition mechanisms in Monte Carlo simulations.

140

Publications

12.4K

Citations

309

Authors

188

Institutions

Publications per year

2017–2026

49

Authors

309

  1. PG
    Peter G. Bolhuis

    University of Amsterdam, Netherlands

    12 publications · 2.9K citations

    12

    h-index

  2. TS
    Titus S. van Erp

    Norwegian University of Science and Technology, Norway

    6 publications · 736 citations

    6

    h-index

  3. DJ
    David J. Wales

    University of Cambridge, United Kingdom

    5 publications · 498 citations

    5

    h-index

  4. CD
    Christoph Dellago

    University of Vienna, Austria

    5 publications · 1.6K citations

    5

    h-index

  5. DM
    Daniel M. Zuckerman

    University of Pittsburgh, United States

    5 publications · 585 citations

    5

    h-index

1–5 of 309

Venues

  1. The Journal of Chemical Physics

    26 publications · 3.3K citations

    22

    h-index

  2. Journal of Chemical Theory and Computation

    JCTC · 11 publications · 638 citations

    10

    h-index

  3. ACM Transactions on Graphics

    TOG · 5 publications · 279 citations

    5

    h-index

  4. arXiv (Cornell University)

    Repository · 5 publications · 316 citations

    5

    h-index

  5. Journal of the American Chemical Society

    JACS · 4 publications · 215 citations

    4

    h-index

1–5